Triple
T13497237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton Dragons |
E320793
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Heater
Heater is the furry dragon mascot of the minor league baseball team the Dayton Dragons, known for entertaining fans at their games.
|
E1042153
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Heater | Statement: [Dayton Dragons, mascot, Heater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heater Context triple: [Dayton Dragons, mascot, Heater]
-
A.
Thermon
Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
-
B.
The Cooler
The Cooler is a 2003 romantic drama film set in a Las Vegas casino, best known for its blend of noir atmosphere and character-driven storytelling.
-
C.
Heiss
Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
-
D.
Mr. Warmth
Mr. Warmth is the ironic nickname of legendary American insult comedian and actor Don Rickles, famed for his sharp wit and acerbic put-downs.
-
E.
Thermi
Thermi is a suburban town near Thessaloniki in northern Greece, known for hosting educational and research facilities as well as residential and commercial developments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Heater Triple: [Dayton Dragons, mascot, Heater]
Generated description
Heater is the furry dragon mascot of the minor league baseball team the Dayton Dragons, known for entertaining fans at their games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heater Target entity description: Heater is the furry dragon mascot of the minor league baseball team the Dayton Dragons, known for entertaining fans at their games.
-
A.
Thermon
Thermon is an ancient Greek sanctuary site in Aetolia, best known as a major religious and political center dedicated to the worship of Apollo.
-
B.
The Cooler
The Cooler is a 2003 romantic drama film set in a Las Vegas casino, best known for its blend of noir atmosphere and character-driven storytelling.
-
C.
Heiss
Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
-
D.
Mr. Warmth
Mr. Warmth is the ironic nickname of legendary American insult comedian and actor Don Rickles, famed for his sharp wit and acerbic put-downs.
-
E.
Thermi
Thermi is a suburban town near Thessaloniki in northern Greece, known for hosting educational and research facilities as well as residential and commercial developments.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4e9ca4819083116890a65389f9 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7464125988190b26390669241cc20 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74bd2880881909dcc3b1ec72cb3a0 |
completed | May 3, 2026, 1:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74c616a788190804ae648001f58b8 |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 9, 2026, 9:43 p.m.